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ORCIDArio Sadafi
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2020 – today
- 2024
[c15]Michael Deutges, Ario Sadafi, Nassir Navab, Carsten Marr:
Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images. MICCAI (3) 2024: 693-702- [i13]Michael Deutges, Ario Sadafi, Nassir Navab, Carsten Marr:
Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images. CoRR abs/2404.05584 (2024) - [i12]Gizem Mert, Ario Sadafi, Raheleh Salehi, Nassir Navab, Carsten Marr:
Multimodal Analysis of White Blood Cell Differentiation in Acute Myeloid Leukemia Patients using a β-Variational Autoencoder. CoRR abs/2408.06720 (2024) - 2023
- [c14]Ario Sadafi, Matthias Hehr, Nassir Navab, Carsten Marr:
A Study of Age and Sex Bias in Multiple Instance Learning Based Classification of Acute Myeloid Leukemia Subtypes. CLIP/FAIMI/EPIMI@MICCAI 2023: 256-265 - [c13]Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr:
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images. IPMI 2023: 170-182 - [c12]Ario Sadafi, Nassir Navab, Carsten Marr:
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-Based Multiple Instance Learning. ISBI 2023: 1-5 - [c11]Daniel Sens, Ario Sadafi, Francesco Paolo Casale, Nassir Navab, Carsten Marr:
BEL: A Bag Embedding Loss for Transformer Enhances Multiple Instance Whole Slide Image Classification. ISBI 2023: 1-5 - [c10]Ario Sadafi, Raheleh Salehi, Armin Gruber, Sayedali Shetab Boushehri, Pascal Giehr, Nassir Navab, Carsten Marr:
A Continual Learning Approach for Cross-Domain White Blood Cell Classification. DART@MICCAI 2023: 136-146 - [i11]Ario Sadafi, Nassir Navab, Carsten Marr:
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-based Multiple Instance Learning. CoRR abs/2303.01342 (2023) - [i10]Daniel Sens, Ario Sadafi, Francesco Paolo Casale, Nassir Navab, Carsten Marr:
BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance Whole Slide Image Classification. CoRR abs/2303.01377 (2023) - [i9]Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr:
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images. CoRR abs/2303.08632 (2023) - [i8]Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Carsten Marr, Bastian Rieck
:
Topologically-Regularized Multiple Instance Learning for Red Blood Cell Disease Classification. CoRR abs/2307.14025 (2023) - [i7]Ario Sadafi, Matthias Hehr, Nassir Navab, Carsten Marr:
A Study of Age and Sex Bias in Multiple Instance Learning based Classification of Acute Myeloid Leukemia Subtypes. CoRR abs/2308.12675 (2023) - [i6]Ario Sadafi, Raheleh Salehi, Armin Gruber, Sayedali Shetab Boushehri, Pascal Giehr, Nassir Navab, Carsten Marr:
A Continual Learning Approach for Cross-Domain White Blood Cell Classification. CoRR abs/2308.12679 (2023) - 2022
- [c9]Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr:
Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder Classification. MICCAI (8) 2022: 341-350 - [c8]Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr:
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification. MICCAI (3) 2022: 739-748 - [i5]Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr:
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification. CoRR abs/2207.00501 (2022) - [i4]Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr:
Anomaly-aware multiple instance learning for rare anemia disorder classification. CoRR abs/2207.01742 (2022) - 2021
- [c7]Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr:
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias. ISBI 2021: 966-970 - [c6]Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr:
Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional Networks. DART/FAIR@MICCAI 2021: 216-225 - [i3]Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr:
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias. CoRR abs/2103.09671 (2021) - [i2]Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr:
Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks. CoRR abs/2109.05372 (2021) - 2020
- [c5]Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr:
Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders. MICCAI (5) 2020: 246-256 - [i1]Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr:
Attention based Multiple Instance Learning for Classification of Blood Cell Disorders. CoRR abs/2007.11641 (2020)
2010 – 2019
- 2019
- [c4]Ario Sadafi, Niklas Koehler, Asya Makhro, Anna Bogdanova, Nassir Navab, Carsten Marr, Tingying Peng:
Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy. MICCAI (1) 2019: 685-693 - 2018
- [c3]Ario Sadafi, Vasiliki-Maria Katsageorgiou, Huiping Huang, Francesco Papaleo, Vittorio Murino, Diego Sona:
Multiple Mice Tracking: Occlusions Disentanglement using a Gaussian Mixture Model. ICPR 2018: 2433-2437 - [c2]Ario Sadafi, Martin Radolko, Iosif Serafeimidis, Steffen Hadlak:
Red Blood Cells Segmentation: A Fully Convolutional Network Approach. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 911-914 - 2011
- [c1]Moslem Didehban, Ario Sadafi, Sajjad Salehi, Mohammad Bagher Chami:
A Gate Level Analysis of Transient Faults Effects on Dual-Core Chip-Multi Processors. ARES 2011: 365-370
Coauthor Index
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last updated on 2024-10-11 17:31 CEST by the dblp team
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